Things are moving quickly. If you're anything like us, you've been following the AI news over the last few weeks with a mix of excitement and trepidation:

• AI video is indistinguishable from reality with Sora
• Nvidia is building eerily humanoid robots
• An independent AI developer is quickly approaching human proficiency
• GPT-5 will approach AGI levels by the summer according to (admittedly biased) OpenAI CEO Sam Altman
• A legion of mecha symbiotes is being developed to start a colony on the moon

Okay, that last one was fake (for now). But the point is clear: all this AI stuff is a bit of a whirlwind. The future has always been uncertain but it hasn't rushed in on us quite so quickly before.

This has brought a question to our minds and the minds of our more forward-looking clients: how do we make good decisions when the ground is constantly shifting beneath us?

Decision-making under uncertainty has been a branch of decision science for many years, but that science has never quite seeped into organizations.

Perhaps it's time it does. Perhaps concepts like ambiguity tolerance, emotional contagion, and adaptive decision systems have finally become not just helpful but necessary.

While we address that science elsewhere (and in practically all of our projects), the short of it is that the solution isn't about predicting a specific future; it's about preparing for multiple outcomes.

It's about agility, flexibility, and the ability to pivot as new information comes to light. It's about embracing a mindset of learning and adaptation, where the goal isn't to be right the first time but to be more responsive over time.

Are you navigating the challenges of rapid technological change in your organization? Are you wondering how to leverage these changes for innovation and societal benefit? We're here to help. Reply to this email or contact us to explore how we can turn these challenges into opportunities together.

Until next time,

Dan & Sekoul

Co-Founders, The Decision Lab